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10.12669/pjms.311.5740 http://scihub22266oqcxt.onion/10.12669/pjms.311.5740 C4386159!4386159 !25878616     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25878616 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Pak+J+Med+Sci 2015 ; 31 (1 ): 65-9 Nephropedia Template TP {{tp|p=25878616 |t=2015. Detection of renal brush border membrane enzymes for evaluation of renal injury in neonatal scleredema |pdf=|usr=}}{{25878616 }} gab.com Text Detection of renal brush border membrane enzymes for evaluation of renal injury in neonatal scleredema JO: Pak J Med Sci http://www.kidney.de/pget.php?&tw=1&pmid=25878616 #FOAvip OBJECTIVE: To evaluate renal brush border membrane enzymes in urine as an indicator for renal injury in neonatal scleredema (NS). METHODS: Sixty nine NS patients in our hospital were enrolled and divided into mild group and moderate/severe group. Patients were further randomly divided into therapy and control subgroups for 7 days ligustrazine administration. Urine samples were collected to detect renal brush border membrane enzymes (RBBME) by ELISA and ?2-microglobulin (?2-MG) by radioimmunoassay (RIA). The results were compared with those of 30 normal neonates. Data were statistically analyzed using SPSS13.0 software. RESULTS: Both RBBME and ?2-MG were found to be higher in urine in NS patients than normal controls (P < 0.01). Level of RBBME increased with the severity of NS (P <0.05), while urinary ?2-MG did not (P >0.05). After being treated with ligustrazine, a medicine for renal function recovery, both RBBME and ?2-MG were similarly significantly decreased comparing to untreated groups (P < 0.05). 79.7% of NS patients showed abnormal RBBME while only 52.2% had an abnormal urinary ?2-MG (? (2)=11.65?P < 0.01). CONCLUSION: RBBME was more sensitive than ?2-MG in reflecting the renal injury in NS. Examination of RBBME effectively reflected the recovery of renal injury after treatment with ligustrazine. Twit Text FOAVip Detection of renal brush border membrane enzymes for evaluation of renal injury in neonatal scleredema ????Pak J Med Sci http://www.kidney.de/pget.php?&tw=1&pmid=25878616 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25878616 #FOAvip English Wikipedia <ref>{{Cite pmid|25878616 }}</ref> Detection of renal brush border membrane enzymes for evaluation of renal injury in neonatal scleredema #MMPMID25878616 Ren Q ; Zhang Y ; Yang J ; Wei L ; Zhao L ; Yang Q Pak J Med Sci 2015[Jan]; 31 (1 ): 65-9 PMID25878616 show ga OBJECTIVE: To evaluate renal brush border membrane enzymes in urine as an indicator for renal injury in neonatal scleredema (NS). METHODS: Sixty nine NS patients in our hospital were enrolled and divided into mild group and moderate/severe group. Patients were further randomly divided into therapy and control subgroups for 7 days ligustrazine administration. Urine samples were collected to detect renal brush border membrane enzymes (RBBME) by ELISA and ?2-microglobulin (?2-MG) by radioimmunoassay (RIA). The results were compared with those of 30 normal neonates. Data were statistically analyzed using SPSS13.0 software. RESULTS: Both RBBME and ?2-MG were found to be higher in urine in NS patients than normal controls (P < 0.01). Level of RBBME increased with the severity of NS (P <0.05), while urinary ?2-MG did not (P >0.05). After being treated with ligustrazine, a medicine for renal function recovery, both RBBME and ?2-MG were similarly significantly decreased comparing to untreated groups (P < 0.05). 79.7% of NS patients showed abnormal RBBME while only 52.2% had an abnormal urinary ?2-MG (? (2)=11.65?P < 0.01). CONCLUSION: RBBME was more sensitive than ?2-MG in reflecting the renal injury in NS. Examination of RBBME effectively reflected the recovery of renal injury after treatment with ligustrazine. ?Detection of renal brush border membrane enzymes for evaluation of ren(epmc).pdf DeepDyve Pubget Overpricing